A power system with large integration of renewable energy based generations is inherently
associated with different types of uncertainties. In such cases, probabilistic load flow is a vital …

Wind farms commonly cluster in regions rich in wind resources. Thus, correlation of wind
speeds from different wind farms should not be ignored when modeling a power system with …

Power system reliability evaluation plays a vital role in the planning and operation studies by
reflecting the system safety level. In this paper, a combination of a non-sequential Monte …

As the capacity of new energy sources connected to the regional integrated energy system
increases, it is necessary to consider (i) the energy imbalance caused by multiple …

Load flow analysis is an essential part of system operation and planning. Up to now, load
flow can be categorized as deterministic and probabilistic. In the deterministic load flow, the …

An improved three point-estimate method (I3PEM) scheme is proposed to estimate the
probability moments of probabilistic power flow (PLF) in this paper. I3PEM is obtained by the …

This paper presents a non-sequential Monte Carlo Simulation (MCS)-based method for the
reliability assessment of composite power system with wind farms (WFs). A multistate …

As the increasing integration of large-scale renewable energy sources in power systems, the
stochastic characteristics of loads and renewable energy systems become much more …

The impact of wind power forecast errors (WPFEs) on power system reliability can be
quantified by a sensitivity model, which helps to determine the importance of different wind …

This paper aims at exploring the impacts of high dimensional dependences of wind speed
among wind farms on probabilistic optimal power flow (POPF). Kernel density estimate …